An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1
Joint Authors
Guo, Hai
Yin, Jinghua
Zhao, Jingying
Liu, Yuanyuan
Yao, Lei
Xia, Xu
Source
Advances in Materials Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-06
Country of Publication
Egypt
No. of Pages
9
Abstract EN
An automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film.
The features of gray level cooccurrence matrix (GLCM) can be extracted from different types of surface morphology images of film; after that, the dimension reduction of film can be handled by principal component analysis (PCA).
So it is possible to identify the element of film according to the Adaboost M1 algorithm of a strong classifier with ten decision tree classifiers.
The experimental result shows that this model is superior to the ones of SVM (support vector machine), NN and BayesNet.
The method proposed can be widely applied to the automatic detection of not only nanocomposite film element but also other nanocomposite material elements.
American Psychological Association (APA)
Guo, Hai& Yin, Jinghua& Zhao, Jingying& Liu, Yuanyuan& Yao, Lei& Xia, Xu. 2015. An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1. Advances in Materials Science and Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1053118
Modern Language Association (MLA)
Guo, Hai…[et al.]. An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1. Advances in Materials Science and Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1053118
American Medical Association (AMA)
Guo, Hai& Yin, Jinghua& Zhao, Jingying& Liu, Yuanyuan& Yao, Lei& Xia, Xu. An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1. Advances in Materials Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1053118
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1053118